May 1, 2024
3 minute read
Instrumental Variables (IV) is a statistical technique used to estimate causal effects when there is a problem of endogeneity, meaning a variable that affects both the independent and dependent variables. In other words, IV is a method that allows us to identify and correct for biases in regression analysis caused by unobserved factors that influence both the explanatory and response variables.
Why Learn Instrumental Variables?
There are several reasons why you might want to learn about Instrumental Variables:
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Find a path to becoming a Instrumental Variables. Learn more at:
OpenCourser.com/topic/igfi4u/instrumental
Reading list
We've selected 15 books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Instrumental Variables.
Provides a comprehensive treatment of the theory and practice of causal inference, with a particular focus on applications in statistics, social sciences, and biomedical sciences.
Provides a comprehensive treatment of the theory and practice of causal inference, with a particular focus on graphical models.
Provides a detailed treatment of the theory and practice of instrumental variables methods.
Focuses on the statistical theory of instrumental variables. It provides a rigorous treatment of the identification and estimation of instrumental variables models.
Provides a comprehensive treatment of the econometrics of cross section and panel data, including a detailed discussion of instrumental variables methods.
Provides a clear and concise introduction to the theory and practice of econometrics, with a particular focus on causal inference.
Provides a comprehensive treatment of the theory and practice of econometrics, with a particular focus on instrumental variables methods.
Provides a comprehensive treatment of the theory and practice of econometrics, with a particular focus on instrumental variables methods.
Practical guide to microeconometrics using the Stata software package. It discusses instrumental variables and their use in causal inference, with a focus on empirical applications.
Provides a comprehensive overview of causal inference from a statistical perspective. It discusses instrumental variables and their use in causal inference, with a focus on theoretical foundations.
Comprehensive textbook on econometrics in French. It discusses instrumental variables and their use in causal inference, with a focus on theoretical foundations.
Provides a rigorous and accessible introduction to the statistical methods used to establish causation. It includes a comprehensive discussion of instrumental variables and their use in causal inference.
Is an introduction to applied econometrics in German. It covers a wide range of topics, including instrumental variables and their use in causal inference.
Provides a practical guide to econometric analysis and causal inference. It discusses instrumental variables and their use in causal inference, with a focus on empirical applications.
Provides a clear and concise introduction to research design and causal inference. It discusses instrumental variables and their use in causal inference, with a focus on practical applications.
For more information about how these books relate to this course, visit:
OpenCourser.com/topic/igfi4u/instrumental
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